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Shanxi Xigou

Shanxi Xigou genetic profile from the CanVAS Atlas. 12 dogs in the Atlas, heterozygosity 0.28. Nearest relatives, trait loci frequencies, cohort distribution.

What the atlas says about Shanxi Xigou

In the atlas, the Shanxi Xigou clusters consistently as Shanxi Xigou (100% of the 12 dogs here). At the trait loci, LCORL runs lower than average (25% here vs 83%); ADAMTS17 runs lower than average (0% here vs 54%). Dogs here sit in a relatively sparse region of the atlas, fewer close neighbors than typical.

High breed predictability score (5.00), individual dogs of this breed reliably cluster together genetically. Only 12 dogs of this breed in the atlas, modestly sampled.

Closest genetic neighbors in the atlas: Shandong Xigou, Liangzhou Dog, Mongolian Dog, village dog Nepal, and Qingchuan Hound.

Genetic dimensions · CanVAS atlas

What the genome says about Shanxi Xigou

Computed from the 14,478 research dogs in the Atlas. Methods: technical methodology.

Dogs in the Atlas
12Founders
12 from Chen
Genetic diversity
0.28Moderate
Mean heterozygosity across the breed. Too few dogs in this breed (<20) to rank.
Cluster structure
Single tight cluster
Intra-breed RMS distance: 10.81
Nearest genetic relatives
  1. Shandong Xigou3.31
  2. Liangzhou Dog6.77
  3. Mongolian Dog9.18
  4. Village Dog Nepal10.63
  5. Qingchuan Hound15.24
Top-10 PC corrected Euclidean. Lower = closer.
Trait genetics
Allele frequencies at named morphology loci

Frequency of the alternate allele in this breed at each locus's representative SNP. Methods + caveats in technical methodology.

Body size
IGF188%
HMGA263%
SMAD288%
LCORL25%
STC2100%
ADAMTS170%
Leg length
FGF4·CFA1879%
FGF4·CFA12100%
Coat
RSPO213%
FGF596%
KRT71100%
MC1R100%
Ear set
MSRB3100%
Skull shape
BMP367%
SMOC275%
Add your Shanxi Xigou to the Atlas

You can add your Shanxi Xigou right now at /add/ as a Charted star. Or, if you'd rather wait for DNA uploads, leave your email and we'll let you know the moment those open.

Last updated
Sources: CanVAS (Brundage 2026) · CanVAS dimensions data